Trust is not abstract. It can be engineered and measured.
ViSP-Lab co-designs regionally aligned systems for Human–AI communication.
No big data. Smart data for trust and concentration.
Scientific lead
Wanice Alfes is a cyberpsychologist of communication (FHWien) and global health specialist (Harvard), with research in human–AI cognitive engineering and extensive experience in collaboration with organizations.
Her work focuses on communication trust models for cross-regional deployment, regulatory demands, and AI adoption.
She is trained in executive innovation at Oxford, and data, likelihood models, and emergent AI-HCI-bio systems at MIT. At Harvard, Alfes developed the METAP4-Method for metacognitive strategies and started ViSP-Lab R&D, receiving faculty endorsement.
She was born in Rio de Janeiro and lives in Bad Homburg, Germany.
Organizational support through lab research, consultancy, pilots keynotes & workshops.
See the areas bellow:
1
Engineer trust-centered human-AI communication
2
Support DACH-oriented AI alignment and implementation
3
Bridge interdisciplinary AI trust systems
4
Connect lab research with real-world AI deployment
5
Applied pilot frameworks for fintech environments (pre-pilot stage)
6
Architect metacognitive systems for human-AI interaction
Keynotes & Workshops
Wanice Alfes shares with organizations insights on Human–AI interaction through the metacognitive approach explored in her upcoming book ThinkMETA.
ThinkMETA explores how humans and AI build trust through semantics, symbols, and meaning — and how thinking itself can be structured through the METAP4-Method.
